In this presentation we are going to explore the new trends and requirements in the analytics market. We will unveil the mystery of machine learning and artificial intelligence and talk about some real use cases. And finally, we are going to demonstrate SAS’ new developments on SAS Viya.
Principal Analytics, SAS
Working on analytics for more than a decade, Tuba Islam enjoys telling data-driven stories and designing analytical solutions to solve complex business problems in simple, creative and effective ways. She is specialised in machine learning, forecasting, text analytics and model management. She has delivered many interesting projects across various industries including rogue trader fraud detection in capital markets, smart metering analytics in utilities, credit risk in banking, churn prediction in telecom, rate making in insurance and demand forecasting in retail. She also enjoys discussing the goodness of SAS and open source integration and how they complement each other. Before joining SAS, Tuba worked on speech recognition and language identification projects in a research institute. She has an electrical and electronics engineering background and holds a master’s degree in digital signal processing.